Gender: Female 
Age: 35-44
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: Graduate degree
Father's education: Graduate degree
Self-assessed socioeconomic status (1-10): 7
Home: Rent 
Employment: Employed full time
Occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Mother's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Father's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Hobbies: Listen to rock/indie music;Listen to hiphop and rap;Go to gigs;Exercise;Use social media;Go to museums and galleries 
Devices used daily: Laptop;Smartphone 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Sometimes
LLMs used: ChatGPT;Google Bard;Google Gemini 
LLM use cases: Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Digital content creation (e.g., creation of social media content);Generic chatbot conversation;Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Work;Entertainment;Learning;Creative or artistic;Personal;Technical 
Prompt 1: benefits of investing  in high speed rail that connects distant cities
Prompt 2: how to generate leads on a website
Prompt 3: write an alternative intro and outro to these ones:  As the year draws to an end, we are excited to share our top five most-read JavaScript articles in 2024!  drumroll please - our top-performing JavaScript post in 2023
Prompt 4: 12 achievable personal growth goals, one for every month next year
Prompt 5: Answer this question: When showing friends and relatives around Hertfordshire, where would you take them or what would you recommend that they do?
Prompt 6: what seo tips can help my website rank higher
Prompt 7: Create a bucket list with 50 items on it
Prompt 8: Act as an expert Life and Career Coach. Ask me a series of questions to uncover my “Ikigai” to help me find my career passion.   Only ask me 1 question at a time, and bold each question, focusing on each pillar of “Ikigai”. We'll start with the first question and progress to the subsequent pillars. The first question should start with 1 of the 4 pillars, and then progress to all 4 pillars.   Let me respond to each of the individual questions before asking the subsequent question. By the end, ask me all 4 questions. And include example responses in each. Once all 4 questions have been asked, synthesize my inputs and recommend ideas for the center of my “IkIgai”.
Prompt 9: Fun names for a family WhatsApp group
Prompt 10: What do you think is unique to north/south London? Could be funny observations about north Londoners such as slang words or preferred fashions etc.